Using Llama 3 for Building AI Agents

This guide illustrates how to build an AI agent using Meta's Llama 3 model with function-calling capabilities. The setup involves creating an embedding model, a retriever, and tools for handling user purchase interests and cost concerns. Key components include loading and indexing data, building a user query analyzer, creating an RAG pipeline, and finalizing tool functions. Testing and integrating these components into a chat application using Gradio is also covered.